8b84378fe1
Elevate MiroFish/CrowdSight from single-container dev to a SaaS foundation: - Local memory backend (Zep-compatible): memory services/models, local graph builder + updater, AgentActivity seam, import-boundary isolation; Zep stays default, local is opt-in behind MEMORY_BACKEND. Semantic parity not yet proven. - Durable product persistence: projects/simulations/reports schema (migration 0007) + tenant/owner-scoped ProductRepository + dual-write + scoped_project read-first + ArtifactStore abstraction; durable JobQueue + worker.py. - SaaS hardening: durable RateLimiter (wired to login), UsageService (LLM accounting), redacted AuditService, idempotency, CORS allowlist, safe API errors, single-use PasswordResetService + endpoints (covers invite-pending). - Exactly 3 roles (super_admin/admin/user) with tenant authz policy. - Admin UI: GET/POST/PATCH /api/admin/users + GET/PUT /api/admin/settings (super-admin only, encrypted/masked); AdminView.vue + SettingsView.vue with admin/super-admin route guards, th/en i18n. - Production deploy topology: multi-stage Dockerfile (frontend build + gunicorn wsgi + nginx SPA-proxy + supervisord worker), backend/wsgi.py, gunicorn dep. Backend 197 passed; frontend 10 tests + build green. ruff unavailable (gap). No commit of credentials; secrets handled via env/.env.example. Deferred: Zep semantic A/B parity, object storage cutover, mobile QA, EasyPanel container build of deploy topology.
60 lines
2.2 KiB
Python
60 lines
2.2 KiB
Python
import json
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from pathlib import Path
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from sqlalchemy import create_engine
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from app.db import Base, create_session_factory
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from app.models.memory import MemoryEdge, MemoryGraph, MemoryNode
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from app.services.memory_entity_reader import LocalEntityReader
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FIXTURE = json.loads(
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Path(__file__).with_name("fixtures").joinpath("memory_parity", "entity_reader_fixture.json").read_text()
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)
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def test_local_entity_reader_matches_entity_filter_fixture():
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engine = create_engine("sqlite+pysqlite:///:memory:")
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Base.metadata.create_all(engine)
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try:
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with create_session_factory(engine)() as session:
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session.add(
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MemoryGraph(
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id=FIXTURE["graph_id"],
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organization_id="org-a",
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project_id="project-a",
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ontology={"entity_types": FIXTURE["filter"]["defined_entity_types"]},
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)
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)
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session.add_all(
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[
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MemoryNode(graph_id=FIXTURE["graph_id"], **node)
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for node in FIXTURE["nodes"]
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]
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)
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session.add_all(
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[
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MemoryEdge(graph_id=FIXTURE["graph_id"], **edge)
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for edge in FIXTURE["edges"]
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]
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)
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session.commit()
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reader = LocalEntityReader(session, organization_id="org-a", graph_id=FIXTURE["graph_id"])
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result = reader.filter_defined_entities(
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defined_entity_types=FIXTURE["filter"]["defined_entity_types"],
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enrich_with_edges=True,
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)
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assert result.total_count == FIXTURE["filter"]["total_count"]
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assert result.filtered_count == FIXTURE["filter"]["filtered_count"]
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assert sorted(result.entity_types) == FIXTURE["filter"]["entity_types"]
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alice = next(entity for entity in result.entities if entity.name == "Alice")
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assert alice.related_edges[0]["fact"] == "Alice works for Acme."
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detail = reader.get_entity_with_context("node-alice")
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assert detail is not None
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assert detail.get_entity_type() == "Person"
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assert detail.related_nodes[0]["name"] == "Acme"
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finally:
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engine.dispose()
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